This module is not currently running in 2024 to 2025.
Advanced Techniques for Feature Classification and Multi-Modal Systems
Analysis of Bayesian Classification; Feature selection strategies using genetic algorithms and Principal Component Analysis; Multiple classifier combination strategies. Intelligent and dynamically adaptable classification techniques; Multi-source biometric systems and score normalisation techniques.
Total contact hours: 39
Private study hours: 111
Total study hours: 150
65% Exam
35% Coursework
See the library reading list for this module (Canterbury)
1 Design and implement biometric systems.
2 Critically appraise alternative applications of biometrics.
3 Understand, in detail, the operation of advanced pattern classification techniques involving multi-modal systems.
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